End-to-end information extraction from documents
Document information extraction tasks performed by humans create data consisting of a PDF or document image input, and extracted string outputs.
Authors: Marco Fraccaro, Simon Kamronn, Ulrich Paquet, Ole Winther
Document information extraction tasks performed by humans create data consisting of a PDF or document image input, and extracted string outputs.
Applying a data-driven approach means we use training data instead of defining rules, distinguishing ourselves from traditional chatbots.
Deep learning has revolutionized natural text modeling since Google Research in 2018 introduced BERT.